{
 "metadata": {
  "name": ""
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%pylab inline --no-import-all"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Populating the interactive namespace from numpy and matplotlib\n"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%bash\n",
      "exotxt IsotropicHardeningPlasticFullyPrescribedTension_NoFlaw.h IsotropicHardeningPlasticFullyPrescribedTension_NoFlaw.txt\n",
      "sed 's/-308/E-308/g' IsotropicHardeningPlasticFullyPrescribedTension_NoFlaw.txt > temp;"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "                           *** exotxt Version 1.23 ***\n",
        "                               Revised 2013/08/07                      \n",
        "\n",
        "                    EXODUSII DATABASE TO TEXT FILE TRANSLATOR\n",
        "\n",
        "                          Run on 2014-01-03 at 14:00:39\n",
        "\n",
        "               ==== Email gdsjaar@sandia.gov for support ====\n",
        "\n",
        "\n",
        " DATABASE INITIAL VARIABLES\n",
        "\n",
        " Peridigm\n",
        "\n",
        " Number of coordinates per node         =         3\n",
        " Number of nodes                        =         1\n",
        " Number of elements                     =         1\n",
        " Number of element blocks               =         1\n",
        "\n",
        " Number of node sets                    =         0\n",
        " Number of side sets                    =         0\n",
        "\n",
        " Number of global variables             =         2\n",
        " Number of variables at each node       =         0\n",
        " Number of variables at each element    =         0\n",
        "\n",
        "\n",
        "      201 time steps on the input database\n",
        "       1 time steps processed\n",
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        "\n",
        "    201 time steps have been written to the text file\n",
        "\n",
        " exotxt used 0.01 seconds of CPU time\n"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "run exoplot.py temp"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "var_names"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 4,
       "text": [
        "array(['MAX_VON_MISES_STRESS', 'MIN_VON_MISES_STRESS'], \n",
        "      dtype='|S20')"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "eng_strain_Y = time_steps*0.001/1.0e-8"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.plot(eng_strain_Y,data_vars[-2],eng_strain_Y,data_vars[-1]);\n",
      "plt.ylabel(\"Max/Min von Mises Stress\");"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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wcDCmTp2KIUOGAEDtXwSOTvvUx43yMnjx8HYiIknUGf7FxcXIyMhAcnIykpOT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\n5IIY/kRELojhT0Tkghj+REQu6P8AFE4//kV1VjwAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x106699110>"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%bash\n",
      "rm IsotropicHardeningPlasticFullyPrescribedTension_NoFlaw.txt temp"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 7
    }
   ],
   "metadata": {}
  }
 ]
}